Separating color and pattern information for color texture discrimination. Mäenpää, T., Pietikäinen, M., & Viertola, J. In 2002. abstract bibtex The analysis of colored surface textures is a challenging research
problem in computer vision. Current approaches to this task can be
roughly divided into two categories: methods that process color and
texture information separately and those that utilize multispectral
texture descriptions. Motivated by recent psychophysical findings, we
find the former approach quite auspicious. We propose the use of
complementary color and texture measures that are combined on a higher
level, and empirically demonstrate the validity of our proposion
using a large set of natural color textures.
@inProceedings{
title = {Separating color and pattern information for color texture discrimination.},
type = {inProceedings},
year = {2002},
id = {c7e20180-3744-3ea0-b975-1b7ffe2a6055},
created = {2019-11-19T16:29:05.802Z},
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profile_id = {bddcf02d-403b-3b06-9def-6d15cc293e20},
group_id = {28b2996c-b80f-3c26-be71-695caf7040ac},
last_modified = {2019-11-19T16:32:07.535Z},
read = {false},
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citation_key = {mvg:333},
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notes = {Proc. 16th International Conference on Pattern Recognition, August 11-15, Quebec City, Canada, 1:668-671.},
folder_uuids = {8292f5ec-1c57-4113-a303-25778e695f8c},
private_publication = {false},
abstract = {The analysis of colored surface textures is a challenging research
problem in computer vision. Current approaches to this task can be
roughly divided into two categories: methods that process color and
texture information separately and those that utilize multispectral
texture descriptions. Motivated by recent psychophysical findings, we
find the former approach quite auspicious. We propose the use of
complementary color and texture measures that are combined on a higher
level, and empirically demonstrate the validity of our proposion
using a large set of natural color textures.},
bibtype = {inProceedings},
author = {Mäenpää, T and Pietikäinen, M and Viertola, J}
}
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